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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Engineer

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological innovation as we pioneer breakthrough AI systems for 2026 and beyond. We're seeking visionary AI Research Engineers to develop next-generation autonomous solutions that will reshape industries. Our cutting-edge lab combines quantum computing, neural networks, and predictive analytics to solve humanity's most complex challenges.

As a key member of our elite research division, you'll collaborate with Nobel laureates and Turing Award winners to push the boundaries of what's possible. We offer unparalleled resources, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.

What we offer:

  • Competitive equity package and profit-sharing
  • Annual research stipend of $25,000
  • Patent bonus program with six-figure rewards
  • Access to quantum computing clusters
  • 4-day work week with unlimited PTO

Responsibilities

  • Design and implement novel AI architectures for autonomous decision-making systems
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop predictive models for climate change mitigation and resource optimization
  • Collaborate with hardware teams to create AI-optimized computing substrates
  • Publish 3+ peer-reviewed papers annually in top-tier AI conferences
  • Mentor junior researchers and lead cross-functional innovation sprints
  • Secure $2M+ in annual research grants through proposal development

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published record in NeurIPS, ICML, or equivalent tier-1 conferences
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proficiency with PyTorch, TensorFlow, and quantum computing frameworks
  • Experience scaling ML models to 100+ parameter systems
  • Demonstrated ability to secure federal research grants (NSF, DARPA)
  • Strong background in ethics and responsible AI development frameworks
  • Track record of commercializing AI research products

Required Skills

Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow Reinforcement Learning Generative AI Research Ethics Grant Writing

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